| Title |
Managing Disease-Modifying Therapies and Breakthrough Activity in Multiple Sclerosis Patients During the COVID-19 Pandemic: Toward an Optimized Approach
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, July 2020
|
| DOI | 10.2147/tcrm.s257714 |
| Pubmed ID | |
| Authors |
Sherif M Hamdy, Maged Abdel-Naseer, Hatem S Shehata, Amr Hassan, Alaa Elmazny, Nevin M Shalaby, Noha T Abokrysha, Nirmeen A Kishk, Mona A F Nada, Sandra M Ahmed, Mohamed I Hegazy, Doaa Mekkawy, Husam S Mourad, Ahmed Abdelalim, Thomas Berger |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 15% |
| Researcher | 12 | 11% |
| Other | 9 | 8% |
| Student > Master | 7 | 6% |
| Student > Ph. D. Student | 5 | 5% |
| Other | 23 | 21% |
| Unknown | 37 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 27% |
| Nursing and Health Professions | 10 | 9% |
| Neuroscience | 6 | 6% |
| Social Sciences | 5 | 5% |
| Psychology | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 38 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2023.
All research outputs
#1,638,339
of 25,387,668 outputs
Outputs from Therapeutics and Clinical Risk Management
#63
of 1,323 outputs
Outputs of similar age
#46,492
of 432,368 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#1
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.